Jupyter 工具的安装与使用方法，jupyter运行python代码演示，好用的python编辑器推荐！

时间:2022-07-25
本文章向大家介绍Jupyter 工具的安装与使用方法，jupyter运行python代码演示，好用的python编辑器推荐！，主要内容包括其使用实例、应用技巧、基本知识点总结和需要注意事项，具有一定的参考价值，需要的朋友可以参考一下。

第一章：环境搭建

先给大家看下代码自动补齐功能的效果图：

① Jupyter 工具的安装

在 cmd 里执行下面的命令即可安装工具。

C:UsersAdministrator>pip install jupyter

② Jupyter 服务的启动

通过 jupyter notebook 启动环境，启用环境后这个窗口不要关闭。 快捷键 ctrl+c 可以停用服务。

③ Python 代码运行演示

通过启动服务时显示的端口即可访问环境。

写完代码后点击运行即可看到效果。

第二章：详细过程展示

① Jupyter 详细安装过程展示

详细安装过程如下：

C:UsersAdministrator>pip install jupyter
Looking in indexes: https://mirrors.aliyun.com/pypi/simple/
Collecting jupyter
  Downloading https://mirrors.aliyun.com/pypi/packages/83/df/0f5dd132200728a86190397e1ea87cd76244e42d39ec5e88efd25b2abd7e/jupyter-1.0.0-py2.py3-none-any.whl (2.7 kB)
Collecting ipykernel
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Collecting notebook
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Collecting nbconvert
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Collecting ipywidgets
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Collecting traitlets>=4.1.0
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Collecting terminado>=0.8.3
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Collecting jupyter-core>=4.6.1
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Collecting jinja2
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Collecting nbformat
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Collecting Send2Trash
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Collecting pyzmq>=17
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Collecting testpath
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Collecting pandocfilters>=1.4.1
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Collecting bleach
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Collecting mistune<2,>=0.8.1
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Collecting pygments
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Collecting entrypoints>=0.2.2
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Collecting qtpy
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Collecting widgetsnbextension~=3.5.0
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Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0
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Collecting six
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Collecting decorator
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Collecting python-dateutil>=2.1
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Collecting pickleshare
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Collecting colorama; sys_platform == "win32"
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Collecting backcall
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Collecting jedi>=0.10
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Requirement already satisfied: setuptools>=18.5 in d:python3.85-32libsite-packages (from ipython>=5.0.0->ipykernel->jupyter) (47.1.0)
Collecting pywinpty>=0.5; os_name == "nt"
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Collecting pywin32>=1.0; sys_platform == "win32"
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Collecting MarkupSafe>=0.23
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Collecting jsonschema!=2.5.0,>=2.4
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Collecting cffi>=1.0.0
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Collecting packaging
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Collecting webencodings
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Collecting wcwidth
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Collecting parso<0.8.0,>=0.7.0
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Collecting pyrsistent>=0.14.0
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Collecting attrs>=17.4.0
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Collecting pycparser
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Collecting pyparsing>=2.0.2
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Using legacy setup.py install for pandocfilters, since package 'wheel' is not installed.
Using legacy setup.py install for pywinpty, since package 'wheel' is not installed.
Using legacy setup.py install for pyrsistent, since package 'wheel' is not installed.
Installing collected packages: ipython-genutils, six, decorator, traitlets, tornado, python-dateutil, pyzmq, pywin32, jupyter-core, jupyter-client, pickleshare, wcwidth, prompt-toolkit, colorama, pygments, backcall, parso, jedi, ipython, ipykernel, defusedxml, testpath, pandocfilters, pyparsing, packaging, webencodings, bleach, mistune, MarkupSafe, jinja2, pyrsistent, attrs, jsonschema, nbformat, entrypoints, nbconvert, pywinpty, terminado, prometheus-client, Send2Trash, pycparser, cffi, argon2-cffi, notebook, qtpy, qtconsole, widgetsnbextension, ipywidgets, jupyter-console, jupyter
    Running setup.py install for pandocfilters ... done
    Running setup.py install for pyrsistent ... done
    Running setup.py install for pywinpty ... done
Successfully installed MarkupSafe-1.1.1 Send2Trash-1.5.0 argon2-cffi-20.1.0 attrs-19.3.0 backcall-0.2.0 bleach-3.1.5 cffi-1.14.1 colorama-0.4.3 decorator-4.4.2 defusedxml-0.6.0 entrypoints-0.3 ipykernel-5.3.4 ipython-7.17.0 ipython-genutils-0.2.0 ipywidgets-7.5.1 jedi-0.17.2 jinja2-2.11.2 jsonschema-3.2.0 jupyter-1.0.0 jupyter-client-6.1.6 jupyter-console-6.1.0 jupyter-core-4.6.3 mistune-0.8.4 nbconvert-5.6.1 nbformat-5.0.7 notebook-6.1.3 packaging-20.4 pandocfilters-1.4.2 parso-0.7.1 pickleshare-0.7.5 prometheus-client-0.8.0 prompt-toolkit-3.0.6 pycparser-2.20 pygments-2.6.1 pyparsing-2.4.7 pyrsistent-0.16.0 python-dateutil-2.8.1 pywin32-228 pywinpty-0.5.7 pyzmq-19.0.2 qtconsole-4.7.5 qtpy-1.9.0 six-1.15.0 terminado-0.8.3 testpath-0.4.4 tornado-6.0.4 traitlets-4.3.3 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1

② Jupyter 服务启动详细过程展示

详细服务启动过程如下：

C:UsersAdministrator>jupyter notebook
[W 17:08:05.045 NotebookApp] Terminals not available (error was No module named 'winpty.cywinpty')
[I 17:08:05.046 NotebookApp] Serving notebooks from local directory: C:UsersAdministrator
[I 17:08:05.047 NotebookApp] Jupyter Notebook 6.1.3 is running at:
[I 17:08:05.048 NotebookApp] http://localhost:8888/?token=9d98f4d1416403b57242bdefe39431e8ad851fd789032d3f
[I 17:08:05.048 NotebookApp]  or http://127.0.0.1:8888/?token=9d98f4d1416403b57242bdefe39431e8ad851fd789032d3f
[I 17:08:05.049 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 17:08:05.073 NotebookApp]

    To access the notebook, open this file in a browser:
        file:///C:/Users/Administrator/AppData/Roaming/jupyter/runtime/nbserver-12540-open.html
    Or copy and paste one of these URLs:
        http://localhost:8888/?token=9d98f4d1416403b57242bdefe39431e8ad851fd789032d3f
     or http://127.0.0.1:8888/?token=9d98f4d1416403b57242bdefe39431e8ad851fd789032d3f

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